Pharmacological inhibition of RORC2 enhances human Th17‐Treg stability and function
Bibliographic record
Abstract
Abstract Inflammatory bowel diseases (IBD) are chronic conditions that result from uncontrolled intestinal inflammation. Pathogenic Th17 cells, characterized by production of IL‐17A in the absence of IL‐10, are thought to contribute to this inflammation, but in humans, antibody‐mediated blockade of IL‐17A is an ineffective IBD therapy whereas IL‐23 blockade is effective. Here, we investigated the effects of pharmacological inhibition of RORC2, the Th17 cell lineage‐defining transcription factor, on in vivo‐differentiated human Th17 cells and Th17‐like Tregs (Th17‐Tregs). BMS‐336, a small molecule RORC2 inverse agonist, inhibited expression of RORC2‐regulated genes in peripheral Th17 cells (CD4 + CD25 – CD127 + CXCR3 – CCR4 + CCR6 + ) in a dose–dependent manner, with similar inhibitory effects on laminar propria mononuclear cells from IBD and non‐IBD subjects. Exposure of peripheral Th17‐Tregs (CD4 + CD25 hi CD127 lo CXCR3 – CCR4 + CCR6 + ) to BMS‐336 also inhibited IL‐17A production and prevented inflammatory cytokine‐induced destabilization, as evidenced by preserved FOXP3 expression and epigenetic status of the Treg‐specific demethylation region. In parallel, RORC2 inhibition increased the production of IL‐10 in Th17‐Tregs, resulting in enhanced suppression of inflammatory cytokines from myeloid cells. Thus, via its ability to simultaneously inhibit Th17 cells and enhance the stability and function of Th17‐Tregs, pharmacological inhibition of RORC2 is a promising approach to suppress inflammation and promote immune regulation in IBD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".